In this research, a methodology was developed to optimize the design of Warm Mix Asphalt
(WMA) with the inclusion of three recycled materials as partial replacement of natural …

Predicting student performance for educational organizations such as universities,
community colleges, schools, and training centers will enhance the overall results of these …

This chapter reviews applications of Memetic Algorithms in the areas of business analytics
and data science. This approach originates from the need to address optimization problems …

Nature-inspired meta-heuristic algorithms possess various actions inspired by natural
phenomena, animal behaviors, chemistry or physics laws etc. The actions are utilized to …

Learning automaton (LA) as one of artificial intelligence techniques is a stochastic model
operating in the framework of the reinforcement learning. LA has been found to be a useful …

The proper use of evolutionary operators is crucial to find optimal solutions in a search
space. Moreover, the diversity of the population affects the performance of Evolutionary …

Exploration and exploitation are the two main concepts of success for searching algorithms.
Controlling exploration and exploitation while executing the search algorithm will enhance …

Surrogate models are commonly employed to reduce computational expenses when
dealing with expensive objective optimization problems. This paper introduces a hybrid …

Metaheuristics have been widely utilized for solving NP-hard optimization problems.
However, these algorithms usually perform differently from one problem to another, ie, one …

Simple Summary Due to lacking exploitation capability, traditional genetic algorithm cannot
accurately identify the minimal best gene subset. Thus, the improved splicing method is …